ArticleBMC primary care2025
The most common diagnoses in primary care, and changes over time, in the total population of Stockholm, Sweden.
Article in BMC primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Enhancing Alzheimer's disease diagnosis in primary care through targeted screening of people at risk of developing dementia - study design and feasibility assessment of the PREDEM primary care study.Alzheimer's research & therapy · 2026Article
- Juggling conflicting demands: registered nurses' experiences of goal conflicts in acute illness consultations in primary care - a thematic analysis.BMC primary care · 2026Article
- A machine learning model to simplify recognition of patients with atrial fibrillation based on diagnostic codes in Swedish primary health care.BMC medical informatics and decision making · 2026Article
- Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency department admission.Cardiovascular diabetology · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePrimary care is the base in many health care systems, and to identify the most registered diagnoses in primary care is a way to identify the overall health care use and needs in society. We estimated the rates of the 30 most common diagnoses in primary health care and their male to female ratio. RESEARCH DESIGN AND
methodsThis was a study including inhabitants 18 years and older out of all 2.3 million inhabitants living in Region Stockholm, Sweden. Data on all healthcare appointments from primary care during 2019-2021 were extracted from the Stockholm County Council data warehouse known as VAL. Primary care data were analyzed by underlying population and age. In 2019, only physical visits were available, but during 2021 digital visits were included. For the specific diagnoses, physical and digital visits were merged.
resultsThe five most common diagnoses in primary care were: essential hypertension (I10), myalgia (M79), type 2 diabetes (E11), dorsalgia (M54), and pain in joint (M25). The female-to-male ratios were higher for 27 of the 30 most common diagnoses, for example stress reaction (F43), malaise and fatigue (R53), and headache (R51). Chronic ischaemic heart disease (I25), Type 2 diabetes (E11), and Atrial fibrillation (I48) were more common in men.
conclusionsMost of the common diagnoses in primary care are more often registered in women than in men. The higher presence of diagnoses of pain and mental illness seems to mirror the higher sick leave among women in recent years.
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